Bank-Telemarketing-Data

Dataset statistics

Number of variables	22
Number of observations	32950
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.5 MiB
Average record size in memory	176.0 B

Variable types

Numeric	11
Categorical	11

Alerts

`id` is highly correlated with `emp.var.rate` and 3 other fields	High correlation
`pdays` is highly correlated with `previous`	High correlation
`previous` is highly correlated with `pdays`	High correlation
`emp.var.rate` is highly correlated with `id` and 3 other fields	High correlation
`cons.price.idx` is highly correlated with `id` and 1 other fields	High correlation
`euribor3m` is highly correlated with `id` and 2 other fields	High correlation
`nr.employed` is highly correlated with `id` and 2 other fields	High correlation
`id` is highly correlated with `emp.var.rate` and 3 other fields	High correlation
`pdays` is highly correlated with `previous`	High correlation
`previous` is highly correlated with `pdays` and 1 other fields	High correlation
`emp.var.rate` is highly correlated with `id` and 3 other fields	High correlation
`cons.price.idx` is highly correlated with `id` and 3 other fields	High correlation
`euribor3m` is highly correlated with `id` and 3 other fields	High correlation
`nr.employed` is highly correlated with `id` and 4 other fields	High correlation
`id` is highly correlated with `cons.price.idx`	High correlation
`emp.var.rate` is highly correlated with `cons.price.idx` and 2 other fields	High correlation
`cons.price.idx` is highly correlated with `id` and 1 other fields	High correlation
`euribor3m` is highly correlated with `emp.var.rate` and 1 other fields	High correlation
`nr.employed` is highly correlated with `emp.var.rate` and 1 other fields	High correlation
`contact` is highly correlated with `month`	High correlation
`month` is highly correlated with `contact`	High correlation
`housing` is highly correlated with `loan`	High correlation
`loan` is highly correlated with `housing`	High correlation
`id` is highly correlated with `contact` and 9 other fields	High correlation
`age` is highly correlated with `job`	High correlation
`job` is highly correlated with `age` and 1 other fields	High correlation
`education` is highly correlated with `job`	High correlation
`housing` is highly correlated with `loan`	High correlation
`loan` is highly correlated with `housing`	High correlation
`contact` is highly correlated with `id` and 6 other fields	High correlation
`month` is highly correlated with `id` and 6 other fields	High correlation
`pdays` is highly correlated with `id` and 5 other fields	High correlation
`previous` is highly correlated with `pdays` and 2 other fields	High correlation
`poutcome` is highly correlated with `id` and 7 other fields	High correlation
`emp.var.rate` is highly correlated with `id` and 7 other fields	High correlation
`cons.price.idx` is highly correlated with `id` and 7 other fields	High correlation
`cons.conf.idx` is highly correlated with `id` and 9 other fields	High correlation
`euribor3m` is highly correlated with `id` and 10 other fields	High correlation
`nr.employed` is highly correlated with `id` and 9 other fields	High correlation
`y` is highly correlated with `id` and 3 other fields	High correlation
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`previous` has 28437 (86.3%) zeros	Zeros

Reproduction

Analysis started	2022-06-01 10:57:55.296309
Analysis finished	2022-06-01 10:59:12.266920
Duration	1 minute and 16.97 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	32950
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20612.91942

Minimum	0
Maximum	41187
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2094.9
Q1	10373.25
median	20610.5
Q3	30858.75
95-th percentile	39145.55
Maximum	41187
Range	41187
Interquartile range (IQR)	20485.5

Descriptive statistics

Standard deviation	11872.66073
Coefficient of variation (CV)	0.5759815231
Kurtosis	-1.196037703
Mean	20612.91942
Median Absolute Deviation (MAD)	10243.5
Skewness	0.0009647821938
Sum	679195695
Variance	140960072.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12556	1	< 0.1%
16705	1	< 0.1%
32999	1	< 0.1%
19339	1	< 0.1%
15489	1	< 0.1%
1018	1	< 0.1%
17563	1	< 0.1%
5193	1	< 0.1%
15701	1	< 0.1%
3536	1	< 0.1%
Other values (32940)	32940	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
41187	1	< 0.1%
41186	1	< 0.1%
41185	1	< 0.1%
41184	1	< 0.1%
41183	1	< 0.1%
41182	1	< 0.1%
41181	1	< 0.1%
41180	1	< 0.1%
41179	1	< 0.1%
41178	1	< 0.1%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	77
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.01742033

Minimum	17
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	17
5-th percentile	26
Q1	32
median	38
Q3	47
95-th percentile	58
Maximum	98
Range	81
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.43584186
Coefficient of variation (CV)	0.2607824736
Kurtosis	0.7872153755
Mean	40.01742033
Median Absolute Deviation (MAD)	7
Skewness	0.7861920227
Sum	1318574
Variance	108.9067954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	1551	4.7%
32	1508	4.6%
33	1476	4.5%
36	1443	4.4%
30	1391	4.2%
35	1383	4.2%
34	1380	4.2%
29	1167	3.5%
37	1165	3.5%
38	1145	3.5%
Other values (67)	19341	58.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	3	< 0.1%
18	24	0.1%
19	34	0.1%
20	55	0.2%
21	77	0.2%
22	110	0.3%
23	186	0.6%
24	369	1.1%
25	480	1.5%
26	563	1.7%

Value	Count	Frequency (%)
98	2	< 0.1%
95	1	< 0.1%
92	4	< 0.1%
91	2	< 0.1%
89	2	< 0.1%
88	16	< 0.1%
87	1	< 0.1%
86	3	< 0.1%
85	12	< 0.1%
84	7	< 0.1%

job
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

admin.	8328
blue-collar	7439
technician	5352
services	3212
management	2310
Other values (7)	6309

Length

Max length	13
Median length	12
Mean length	8.954385432
Min length	6

Characters and Unicode

Total characters	295047
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	blue-collar
2nd row	admin.
3rd row	retired
4th row	housemaid
5th row	admin.

Common Values

Value	Count	Frequency (%)
admin.	8328	25.3%
blue-collar	7439	22.6%
technician	5352	16.2%
services	3212	9.7%
management	2310	7.0%
retired	1363	4.1%
self-employed	1153	3.5%
entrepreneur	1145	3.5%
housemaid	867	2.6%
unemployed	798	2.4%
Other values (2)	983	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
admin	8328	25.3%
blue-collar	7439	22.6%
technician	5352	16.2%
services	3212	9.7%
management	2310	7.0%
retired	1363	4.1%
self-employed	1153	3.5%
entrepreneur	1145	3.5%
housemaid	867	2.6%
unemployed	798	2.4%
Other values (2)	983	3.0%

Most occurring characters

Value	Count	Frequency (%)
e	37784	12.8%
n	28247	9.6%
a	26606	9.0%
l	25421	8.6%
i	24474	8.3%
c	21355	7.2%
r	16812	5.7%
m	15766	5.3%
d	13230	4.5%
t	11612	3.9%
Other values (14)	73740	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	278127	94.3%
Dash Punctuation	8592	2.9%
Other Punctuation	8328	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	37784	13.6%
n	28247	10.2%
a	26606	9.6%
l	25421	9.1%
i	24474	8.8%
c	21355	7.7%
r	16812	6.0%
m	15766	5.7%
d	13230	4.8%
t	11612	4.2%
Other values (12)	56820	20.4%

Dash Punctuation

Value	Count	Frequency (%)
-	8592	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	8328	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	278127	94.3%
Common	16920	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	37784	13.6%
n	28247	10.2%
a	26606	9.6%
l	25421	9.1%
i	24474	8.8%
c	21355	7.7%
r	16812	6.0%
m	15766	5.7%
d	13230	4.8%
t	11612	4.2%
Other values (12)	56820	20.4%

Common

Value	Count	Frequency (%)
-	8592	50.8%
.	8328	49.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	295047	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	37784	12.8%
n	28247	9.6%
a	26606	9.0%
l	25421	8.6%
i	24474	8.3%
c	21355	7.2%
r	16812	5.7%
m	15766	5.3%
d	13230	4.5%
t	11612	3.9%
Other values (14)	73740	25.0%

marital
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

married	19823
single	9333
divorced	3733
unknown	61

Length

Max length	8
Median length	7
Mean length	6.830045524
Min length	6

Characters and Unicode

Total characters	225050
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	married
2nd row	married
3rd row	married
4th row	divorced
5th row	single

Common Values

Value	Count	Frequency (%)
married	19823	60.2%
single	9333	28.3%
divorced	3733	11.3%
unknown	61	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
married	19823	60.2%
single	9333	28.3%
divorced	3733	11.3%
unknown	61	0.2%

Most occurring characters

Value	Count	Frequency (%)
r	43379	19.3%
i	32889	14.6%
e	32889	14.6%
d	27289	12.1%
m	19823	8.8%
a	19823	8.8%
n	9516	4.2%
s	9333	4.1%
g	9333	4.1%
l	9333	4.1%
Other values (6)	11443	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	225050	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	43379	19.3%
i	32889	14.6%
e	32889	14.6%
d	27289	12.1%
m	19823	8.8%
a	19823	8.8%
n	9516	4.2%
s	9333	4.1%
g	9333	4.1%
l	9333	4.1%
Other values (6)	11443	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	225050	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	43379	19.3%
i	32889	14.6%
e	32889	14.6%
d	27289	12.1%
m	19823	8.8%
a	19823	8.8%
n	9516	4.2%
s	9333	4.1%
g	9333	4.1%
l	9333	4.1%
Other values (6)	11443	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	225050	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	43379	19.3%
i	32889	14.6%
e	32889	14.6%
d	27289	12.1%
m	19823	8.8%
a	19823	8.8%
n	9516	4.2%
s	9333	4.1%
g	9333	4.1%
l	9333	4.1%
Other values (6)	11443	5.1%

education
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

university.degree	9750
high.school	7614
basic.9y	4808
professional.course	4176
basic.4y	3338
Other values (3)	3264

Length

Max length	19
Median length	17
Mean length	12.70880121
Min length	7

Characters and Unicode

Total characters	418755
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	basic.9y
2nd row	university.degree
3rd row	basic.4y
4th row	basic.9y
5th row	high.school

Common Values

Value	Count	Frequency (%)
university.degree	9750	29.6%
high.school	7614	23.1%
basic.9y	4808	14.6%
professional.course	4176	12.7%
basic.4y	3338	10.1%
basic.6y	1852	5.6%
unknown	1399	4.2%
illiterate	13	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
university.degree	9750	29.6%
high.school	7614	23.1%
basic.9y	4808	14.6%
professional.course	4176	12.7%
basic.4y	3338	10.1%
basic.6y	1852	5.6%
unknown	1399	4.2%
illiterate	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	47378	11.3%
i	41314	9.9%
s	39890	9.5%
.	31538	7.5%
o	29155	7.0%
r	27865	6.7%
h	22842	5.5%
c	21788	5.2%
y	19748	4.7%
n	18123	4.3%
Other values (15)	119114	28.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	377219	90.1%
Other Punctuation	31538	7.5%
Decimal Number	9998	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	47378	12.6%
i	41314	11.0%
s	39890	10.6%
o	29155	7.7%
r	27865	7.4%
h	22842	6.1%
c	21788	5.8%
y	19748	5.2%
n	18123	4.8%
g	17364	4.6%
Other values (11)	91752	24.3%

Decimal Number

Value	Count	Frequency (%)
9	4808	48.1%
4	3338	33.4%
6	1852	18.5%

Other Punctuation

Value	Count	Frequency (%)
.	31538	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	377219	90.1%
Common	41536	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	47378	12.6%
i	41314	11.0%
s	39890	10.6%
o	29155	7.7%
r	27865	7.4%
h	22842	6.1%
c	21788	5.8%
y	19748	5.2%
n	18123	4.8%
g	17364	4.6%
Other values (11)	91752	24.3%

Common

Value	Count	Frequency (%)
.	31538	75.9%
9	4808	11.6%
4	3338	8.0%
6	1852	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	418755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	47378	11.3%
i	41314	9.9%
s	39890	9.5%
.	31538	7.5%
o	29155	7.0%
r	27865	6.7%
h	22842	5.5%
c	21788	5.2%
y	19748	4.7%
n	18123	4.3%
Other values (15)	119114	28.4%

default
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

no	26090
unknown	6857
yes	3

Length

Max length	7
Median length	2
Mean length	3.04060698
Min length	2

Characters and Unicode

Total characters	100188
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	unknown
2nd row	no
3rd row	no
4th row	no
5th row	unknown

Common Values

Value	Count	Frequency (%)
no	26090	79.2%
unknown	6857	20.8%
yes	3	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	26090	79.2%
unknown	6857	20.8%
yes	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	46661	46.6%
o	32947	32.9%
u	6857	6.8%
k	6857	6.8%
w	6857	6.8%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	100188	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	46661	46.6%
o	32947	32.9%
u	6857	6.8%
k	6857	6.8%
w	6857	6.8%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100188	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	46661	46.6%
o	32947	32.9%
u	6857	6.8%
k	6857	6.8%
w	6857	6.8%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	100188	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	46661	46.6%
o	32947	32.9%
u	6857	6.8%
k	6857	6.8%
w	6857	6.8%
y	3	< 0.1%
e	3	< 0.1%
s	3	< 0.1%

housing
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

yes	17257
no	14882
unknown	811

Length

Max length	7
Median length	3
Mean length	2.646798179
Min length	2

Characters and Unicode

Total characters	87212
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	yes
2nd row	no
3rd row	no
4th row	yes
5th row	no

Common Values

Value	Count	Frequency (%)
yes	17257	52.4%
no	14882	45.2%
unknown	811	2.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	17257	52.4%
no	14882	45.2%
unknown	811	2.5%

Most occurring characters

Value	Count	Frequency (%)
n	17315	19.9%
y	17257	19.8%
e	17257	19.8%
s	17257	19.8%
o	15693	18.0%
u	811	0.9%
k	811	0.9%
w	811	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	87212	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	17315	19.9%
y	17257	19.8%
e	17257	19.8%
s	17257	19.8%
o	15693	18.0%
u	811	0.9%
k	811	0.9%
w	811	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87212	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	17315	19.9%
y	17257	19.8%
e	17257	19.8%
s	17257	19.8%
o	15693	18.0%
u	811	0.9%
k	811	0.9%
w	811	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87212	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	17315	19.9%
y	17257	19.8%
e	17257	19.8%
s	17257	19.8%
o	15693	18.0%
u	811	0.9%
k	811	0.9%
w	811	0.9%

loan
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

no	27135
yes	5004
unknown	811

Length

Max length	7
Median length	2
Mean length	2.274931715
Min length	2

Characters and Unicode

Total characters	74959
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	27135	82.4%
yes	5004	15.2%
unknown	811	2.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	27135	82.4%
yes	5004	15.2%
unknown	811	2.5%

Most occurring characters

Value	Count	Frequency (%)
n	29568	39.4%
o	27946	37.3%
y	5004	6.7%
e	5004	6.7%
s	5004	6.7%
u	811	1.1%
k	811	1.1%
w	811	1.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	74959	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	29568	39.4%
o	27946	37.3%
y	5004	6.7%
e	5004	6.7%
s	5004	6.7%
u	811	1.1%
k	811	1.1%
w	811	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	74959	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	29568	39.4%
o	27946	37.3%
y	5004	6.7%
e	5004	6.7%
s	5004	6.7%
u	811	1.1%
k	811	1.1%
w	811	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	74959	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	29568	39.4%
o	27946	37.3%
y	5004	6.7%
e	5004	6.7%
s	5004	6.7%
u	811	1.1%
k	811	1.1%
w	811	1.1%

contact
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

cellular	20931
telephone	12019

Length

Max length	9
Median length	8
Mean length	8.364764795
Min length	8

Characters and Unicode

Total characters	275619
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	telephone
2nd row	cellular
3rd row	cellular
4th row	cellular
5th row	telephone

Common Values

Value	Count	Frequency (%)
cellular	20931	63.5%
telephone	12019	36.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cellular	20931	63.5%
telephone	12019	36.5%

Most occurring characters

Value	Count	Frequency (%)
l	74812	27.1%
e	56988	20.7%
c	20931	7.6%
u	20931	7.6%
a	20931	7.6%
r	20931	7.6%
t	12019	4.4%
p	12019	4.4%
h	12019	4.4%
o	12019	4.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	275619	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	74812	27.1%
e	56988	20.7%
c	20931	7.6%
u	20931	7.6%
a	20931	7.6%
r	20931	7.6%
t	12019	4.4%
p	12019	4.4%
h	12019	4.4%
o	12019	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	275619	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	74812	27.1%
e	56988	20.7%
c	20931	7.6%
u	20931	7.6%
a	20931	7.6%
r	20931	7.6%
t	12019	4.4%
p	12019	4.4%
h	12019	4.4%
o	12019	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	275619	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	74812	27.1%
e	56988	20.7%
c	20931	7.6%
u	20931	7.6%
a	20931	7.6%
r	20931	7.6%
t	12019	4.4%
p	12019	4.4%
h	12019	4.4%
o	12019	4.4%

month
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

may	10935
jul	5775
aug	4934
jun	4286
nov	3314
Other values (5)	3706

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	98850
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	jul
2nd row	may
3rd row	may
4th row	jul
5th row	may

Common Values

Value	Count	Frequency (%)
may	10935	33.2%
jul	5775	17.5%
aug	4934	15.0%
jun	4286	13.0%
nov	3314	10.1%
apr	2086	6.3%
oct	574	1.7%
sep	458	1.4%
mar	446	1.4%
dec	142	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
may	10935	33.2%
jul	5775	17.5%
aug	4934	15.0%
jun	4286	13.0%
nov	3314	10.1%
apr	2086	6.3%
oct	574	1.7%
sep	458	1.4%
mar	446	1.4%
dec	142	0.4%

Most occurring characters

Value	Count	Frequency (%)
a	18401	18.6%
u	14995	15.2%
m	11381	11.5%
y	10935	11.1%
j	10061	10.2%
n	7600	7.7%
l	5775	5.8%
g	4934	5.0%
o	3888	3.9%
v	3314	3.4%
Other values (7)	7566	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98850	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	18401	18.6%
u	14995	15.2%
m	11381	11.5%
y	10935	11.1%
j	10061	10.2%
n	7600	7.7%
l	5775	5.8%
g	4934	5.0%
o	3888	3.9%
v	3314	3.4%
Other values (7)	7566	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98850	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	18401	18.6%
u	14995	15.2%
m	11381	11.5%
y	10935	11.1%
j	10061	10.2%
n	7600	7.7%
l	5775	5.8%
g	4934	5.0%
o	3888	3.9%
v	3314	3.4%
Other values (7)	7566	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	18401	18.6%
u	14995	15.2%
m	11381	11.5%
y	10935	11.1%
j	10061	10.2%
n	7600	7.7%
l	5775	5.8%
g	4934	5.0%
o	3888	3.9%
v	3314	3.4%
Other values (7)	7566	7.7%

day_of_week
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

thu	6872
mon	6793
tue	6513
wed	6503
fri	6269

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	98850
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	mon
2nd row	mon
3rd row	mon
4th row	tue
5th row	thu

Common Values

Value	Count	Frequency (%)
thu	6872	20.9%
mon	6793	20.6%
tue	6513	19.8%
wed	6503	19.7%
fri	6269	19.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
thu	6872	20.9%
mon	6793	20.6%
tue	6513	19.8%
wed	6503	19.7%
fri	6269	19.0%

Most occurring characters

Value	Count	Frequency (%)
t	13385	13.5%
u	13385	13.5%
e	13016	13.2%
h	6872	7.0%
m	6793	6.9%
o	6793	6.9%
n	6793	6.9%
w	6503	6.6%
d	6503	6.6%
f	6269	6.3%
Other values (2)	12538	12.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98850	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	13385	13.5%
u	13385	13.5%
e	13016	13.2%
h	6872	7.0%
m	6793	6.9%
o	6793	6.9%
n	6793	6.9%
w	6503	6.6%
d	6503	6.6%
f	6269	6.3%
Other values (2)	12538	12.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98850	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	13385	13.5%
u	13385	13.5%
e	13016	13.2%
h	6872	7.0%
m	6793	6.9%
o	6793	6.9%
n	6793	6.9%
w	6503	6.6%
d	6503	6.6%
f	6269	6.3%
Other values (2)	12538	12.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	98850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	13385	13.5%
u	13385	13.5%
e	13016	13.2%
h	6872	7.0%
m	6793	6.9%
o	6793	6.9%
n	6793	6.9%
w	6503	6.6%
d	6503	6.6%
f	6269	6.3%
Other values (2)	12538	12.7%

duration
Real number (ℝ_≥0)

Distinct	1472
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	257.7463126

Minimum	0
Maximum	4918
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	0
5-th percentile	36
Q1	102
median	179
Q3	318
95-th percentile	750.55
Maximum	4918
Range	4918
Interquartile range (IQR)	216

Descriptive statistics

Standard deviation	259.4598632
Coefficient of variation (CV)	1.006648206
Kurtosis	21.49654852
Mean	257.7463126
Median Absolute Deviation (MAD)	93
Skewness	3.333987217
Sum	8492741
Variance	67319.42063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	146	0.4%
104	135	0.4%
106	135	0.4%
111	133	0.4%
73	133	0.4%
85	130	0.4%
125	130	0.4%
139	130	0.4%
136	130	0.4%
87	130	0.4%
Other values (1462)	31618	96.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	3	< 0.1%
3	1	< 0.1%
4	6	< 0.1%
5	24	0.1%
6	28	0.1%
7	44	0.1%
8	58	0.2%
9	66	0.2%
10	55	0.2%

Value	Count	Frequency (%)
4918	1	< 0.1%
4199	1	< 0.1%
3785	1	< 0.1%
3643	1	< 0.1%
3631	1	< 0.1%
3366	1	< 0.1%
3322	1	< 0.1%
3284	1	< 0.1%
3253	1	< 0.1%
3183	1	< 0.1%

campaign
Real number (ℝ_≥0)

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.572959029

Minimum	1
Maximum	56
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	56
Range	55
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.778138286
Coefficient of variation (CV)	1.079744471
Kurtosis	37.07163233
Mean	2.572959029
Median Absolute Deviation (MAD)	1
Skewness	4.756059229
Sum	84779
Variance	7.718052338
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
1	14105	42.8%
2	8419	25.6%
3	4304	13.1%
4	2139	6.5%
5	1261	3.8%
6	779	2.4%
7	494	1.5%
8	327	1.0%
9	238	0.7%
10	179	0.5%
Other values (31)	705	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	14105	42.8%
2	8419	25.6%
3	4304	13.1%
4	2139	6.5%
5	1261	3.8%
6	779	2.4%
7	494	1.5%
8	327	1.0%
9	238	0.7%
10	179	0.5%

Value	Count	Frequency (%)
56	1	< 0.1%
43	2	< 0.1%
41	1	< 0.1%
40	2	< 0.1%
39	1	< 0.1%
37	1	< 0.1%
35	5	< 0.1%
34	3	< 0.1%
33	3	< 0.1%
32	3	< 0.1%

pdays
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	962.7453414

Minimum	0
Maximum	999
Zeros	12
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	0
5-th percentile	999
Q1	999
median	999
Q3	999
95-th percentile	999
Maximum	999
Range	999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	186.248245
Coefficient of variation (CV)	0.1934553583
Kurtosis	22.43293637
Mean	962.7453414
Median Absolute Deviation (MAD)	0
Skewness	-4.942788102
Sum	31722459
Variance	34688.40876
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
999	31747	96.3%
3	348	1.1%
6	333	1.0%
4	93	0.3%
12	50	0.2%
7	47	0.1%
9	47	0.1%
2	46	0.1%
10	41	0.1%
5	37	0.1%
Other values (16)	161	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	< 0.1%
1	22	0.1%
2	46	0.1%
3	348	1.1%
4	93	0.3%
5	37	0.1%
6	333	1.0%
7	47	0.1%
8	15	< 0.1%
9	47	0.1%

Value	Count	Frequency (%)
999	31747	96.3%
27	1	< 0.1%
25	1	< 0.1%
22	2	< 0.1%
21	1	< 0.1%
20	1	< 0.1%
19	2	< 0.1%
18	5	< 0.1%
17	7	< 0.1%
16	8	< 0.1%

previous
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1729893778

Minimum	0
Maximum	7
Zeros	28437
Zeros (%)	86.3%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4929919675
Coefficient of variation (CV)	2.849839532
Kurtosis	19.57057198
Mean	0.1729893778
Median Absolute Deviation (MAD)	0
Skewness	3.787483862
Sum	5700
Variance	0.24304108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	28437	86.3%
1	3666	11.1%
2	598	1.8%
3	181	0.5%
4	50	0.2%
5	14	< 0.1%
6	3	< 0.1%
7	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28437	86.3%
1	3666	11.1%
2	598	1.8%
3	181	0.5%
4	50	0.2%
5	14	< 0.1%
6	3	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
6	3	< 0.1%
5	14	< 0.1%
4	50	0.2%
3	181	0.5%
2	598	1.8%
1	3666	11.1%
0	28437	86.3%

poutcome
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

nonexistent	28437
failure	3423
success	1090

Length

Max length	11
Median length	11
Mean length	10.45213961
Min length	7

Characters and Unicode

Total characters	344398
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nonexistent
2nd row	nonexistent
3rd row	failure
4th row	nonexistent
5th row	nonexistent

Common Values

Value	Count	Frequency (%)
nonexistent	28437	86.3%
failure	3423	10.4%
success	1090	3.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nonexistent	28437	86.3%
failure	3423	10.4%
success	1090	3.3%

Most occurring characters

Value	Count	Frequency (%)
n	85311	24.8%
e	61387	17.8%
t	56874	16.5%
i	31860	9.3%
s	31707	9.2%
o	28437	8.3%
x	28437	8.3%
u	4513	1.3%
f	3423	1.0%
a	3423	1.0%
Other values (3)	9026	2.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	344398	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	85311	24.8%
e	61387	17.8%
t	56874	16.5%
i	31860	9.3%
s	31707	9.2%
o	28437	8.3%
x	28437	8.3%
u	4513	1.3%
f	3423	1.0%
a	3423	1.0%
Other values (3)	9026	2.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	344398	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	85311	24.8%
e	61387	17.8%
t	56874	16.5%
i	31860	9.3%
s	31707	9.2%
o	28437	8.3%
x	28437	8.3%
u	4513	1.3%
f	3423	1.0%
a	3423	1.0%
Other values (3)	9026	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	344398	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	85311	24.8%
e	61387	17.8%
t	56874	16.5%
i	31860	9.3%
s	31707	9.2%
o	28437	8.3%
x	28437	8.3%
u	4513	1.3%
f	3423	1.0%
a	3423	1.0%
Other values (3)	9026	2.6%

emp.var.rate
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0831047041

Minimum	-3.4
Maximum	1.4
Zeros	0
Zeros (%)	0.0%
Negative	13766
Negative (%)	41.8%
Memory size	257.5 KiB

Quantile statistics

Minimum	-3.4
5-th percentile	-2.9
Q1	-1.8
median	1.1
Q3	1.4
95-th percentile	1.4
Maximum	1.4
Range	4.8
Interquartile range (IQR)	3.2

Descriptive statistics

Standard deviation	1.57001077
Coefficient of variation (CV)	18.8919603
Kurtosis	-1.059159339
Mean	0.0831047041
Median Absolute Deviation (MAD)	0.3
Skewness	-0.725041921
Sum	2738.3
Variance	2.464933819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1.4	13033	39.6%
-1.8	7316	22.2%
1.1	6151	18.7%
-0.1	2976	9.0%
-2.9	1322	4.0%
-3.4	860	2.6%
-1.7	640	1.9%
-1.1	510	1.5%
-3	133	0.4%
-0.2	9	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3.4	860	2.6%
-3	133	0.4%
-2.9	1322	4.0%
-1.8	7316	22.2%
-1.7	640	1.9%
-1.1	510	1.5%
-0.2	9	< 0.1%
-0.1	2976	9.0%
1.1	6151	18.7%
1.4	13033	39.6%

Value	Count	Frequency (%)
1.4	13033	39.6%
1.1	6151	18.7%
-0.1	2976	9.0%
-0.2	9	< 0.1%
-1.1	510	1.5%
-1.7	640	1.9%
-1.8	7316	22.2%
-2.9	1322	4.0%
-3	133	0.4%
-3.4	860	2.6%

cons.price.idx
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93.57683533

Minimum	92.201
Maximum	94.767
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	92.201
5-th percentile	92.713
Q1	93.075
median	93.749
Q3	93.994
95-th percentile	94.465
Maximum	94.767
Range	2.566
Interquartile range (IQR)	0.919

Descriptive statistics

Standard deviation	0.5791573329
Coefficient of variation (CV)	0.00618911006
Kurtosis	-0.8310025209
Mean	93.57683533
Median Absolute Deviation (MAD)	0.38
Skewness	-0.2297089258
Sum	3083356.724
Variance	0.3354232163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
93.994	6151	18.7%
93.918	5372	16.3%
92.893	4616	14.0%
93.444	4130	12.5%
94.465	3531	10.7%
93.2	2919	8.9%
93.075	1956	5.9%
92.201	612	1.9%
92.963	571	1.7%
92.431	360	1.1%
Other values (16)	2732	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
92.201	612	1.9%
92.379	213	0.6%
92.431	360	1.1%
92.469	139	0.4%
92.649	287	0.9%
92.713	133	0.4%
92.756	9	< 0.1%
92.843	233	0.7%
92.893	4616	14.0%
92.963	571	1.7%

Value	Count	Frequency (%)
94.767	108	0.3%
94.601	157	0.5%
94.465	3531	10.7%
94.215	264	0.8%
94.199	245	0.7%
94.055	184	0.6%
94.027	192	0.6%
93.994	6151	18.7%
93.918	5372	16.3%
93.876	168	0.5%

cons.conf.idx
Real number (ℝ)

HIGH CORRELATION

Distinct	26
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-40.5145736

Minimum	-50.8
Maximum	-26.9
Zeros	0
Zeros (%)	0.0%
Negative	32950
Negative (%)	100.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	-50.8
5-th percentile	-47.1
Q1	-42.7
median	-41.8
Q3	-36.4
95-th percentile	-33.6
Maximum	-26.9
Range	23.9
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.622682714
Coefficient of variation (CV)	-0.1140992562
Kurtosis	-0.3389691675
Mean	-40.5145736
Median Absolute Deviation (MAD)	4.4
Skewness	0.3097267046
Sum	-1334955.2
Variance	21.36919548
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
-36.4	6151	18.7%
-42.7	5372	16.3%
-46.2	4616	14.0%
-36.1	4130	12.5%
-41.8	3531	10.7%
-42	2919	8.9%
-47.1	1956	5.9%
-31.4	612	1.9%
-40.8	571	1.7%
-26.9	360	1.1%
Other values (16)	2732	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-50.8	108	0.3%
-50	233	0.7%
-49.5	157	0.5%
-47.1	1956	5.9%
-46.2	4616	14.0%
-45.9	9	< 0.1%
-42.7	5372	16.3%
-42	2919	8.9%
-41.8	3531	10.7%
-40.8	571	1.7%

Value	Count	Frequency (%)
-26.9	360	1.1%
-29.8	213	0.6%
-30.1	287	0.9%
-31.4	612	1.9%
-33	133	0.4%
-33.6	139	0.4%
-34.6	130	0.4%
-34.8	213	0.6%
-36.1	4130	12.5%
-36.4	6151	18.7%

euribor3m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	313
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.622697572

Minimum	0.634
Maximum	5.045
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	0.634
5-th percentile	0.797
Q1	1.344
median	4.857
Q3	4.961
95-th percentile	4.966
Maximum	5.045
Range	4.411
Interquartile range (IQR)	3.617

Descriptive statistics

Standard deviation	1.733735033
Coefficient of variation (CV)	0.4785757018
Kurtosis	-1.403300387
Mean	3.622697572
Median Absolute Deviation (MAD)	0.108
Skewness	-0.7112742443
Sum	119367.885
Variance	3.005837165
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.857	2275	6.9%
4.962	2126	6.5%
4.963	1990	6.0%
4.961	1549	4.7%
4.856	960	2.9%
1.405	942	2.9%
4.964	937	2.8%
4.965	848	2.6%
4.96	816	2.5%
4.864	815	2.5%
Other values (303)	19692	59.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.634	5	< 0.1%
0.635	37	0.1%
0.636	10	< 0.1%
0.637	6	< 0.1%
0.638	5	< 0.1%
0.639	10	< 0.1%
0.64	5	< 0.1%
0.642	23	0.1%
0.643	19	0.1%
0.644	28	0.1%

Value	Count	Frequency (%)
5.045	7	< 0.1%
5	5	< 0.1%
4.97	141	0.4%
4.968	774	2.3%
4.967	513	1.6%
4.966	501	1.5%
4.965	848	2.6%
4.964	937	2.8%
4.963	1990	6.0%
4.962	2126	6.5%

nr.employed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5167.094049

Minimum	4963.6
Maximum	5228.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	257.5 KiB

Quantile statistics

Minimum	4963.6
5-th percentile	5008.7
Q1	5099.1
median	5191
Q3	5228.1
95-th percentile	5228.1
Maximum	5228.1
Range	264.5
Interquartile range (IQR)	129

Descriptive statistics

Standard deviation	72.35462463
Coefficient of variation (CV)	0.01400296258
Kurtosis	0.002020044821
Mean	5167.094049
Median Absolute Deviation (MAD)	37.1
Skewness	-1.047957635
Sum	170255748.9
Variance	5235.191705
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
5228.1	13033	39.6%
5099.1	6805	20.7%
5191	6151	18.7%
5195.8	2976	9.0%
5076.2	1322	4.0%
5017.5	860	2.6%
4991.6	640	1.9%
5008.7	511	1.6%
4963.6	510	1.5%
5023.5	133	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4963.6	510	1.5%
4991.6	640	1.9%
5008.7	511	1.6%
5017.5	860	2.6%
5023.5	133	0.4%
5076.2	1322	4.0%
5099.1	6805	20.7%
5176.3	9	< 0.1%
5191	6151	18.7%
5195.8	2976	9.0%

Value	Count	Frequency (%)
5228.1	13033	39.6%
5195.8	2976	9.0%
5191	6151	18.7%
5176.3	9	< 0.1%
5099.1	6805	20.7%
5076.2	1322	4.0%
5023.5	133	0.4%
5017.5	860	2.6%
5008.7	511	1.6%
4991.6	640	1.9%

y
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	257.5 KiB

0	29245
1	3705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	32950
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	29245	88.8%
1	3705	11.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	29245	88.8%
1	3705	11.2%

Most occurring characters

Value	Count	Frequency (%)
0	29245	88.8%
1	3705	11.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	32950	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	29245	88.8%
1	3705	11.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	32950	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	29245	88.8%
1	3705	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32950	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	29245	88.8%
1	3705	11.2%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	id	age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed
0	12556	40	blue-collar	married	basic.9y	unknown	yes	no	telephone	jul	mon	94	2	999	0	nonexistent	1.4	93.918	-42.7	4.960	5228.1
1	35451	31	admin.	married	university.degree	no	no	no	cellular	may	mon	116	4	999	0	nonexistent	-1.8	92.893	-46.2	1.244	5099.1
2	30592	59	retired	married	basic.4y	no	no	no	cellular	may	mon	13	6	999	1	failure	-1.8	92.893	-46.2	1.354	5099.1
3	17914	43	housemaid	divorced	basic.9y	no	yes	no	cellular	jul	tue	94	5	999	0	nonexistent	1.4	93.918	-42.7	4.961	5228.1
4	3315	39	admin.	single	high.school	unknown	no	no	telephone	may	thu	344	2	999	0	nonexistent	1.1	93.994	-36.4	4.860	5191.0
5	29191	33	management	married	basic.9y	no	no	no	cellular	apr	fri	727	2	999	0	nonexistent	-1.8	93.075	-47.1	1.405	5099.1
6	30549	35	admin.	married	professional.course	no	yes	no	cellular	may	mon	115	3	999	0	nonexistent	-1.8	92.893	-46.2	1.354	5099.1
7	6098	36	blue-collar	single	basic.9y	unknown	no	no	telephone	may	tue	201	2	999	0	nonexistent	1.1	93.994	-36.4	4.857	5191.0
8	6252	36	blue-collar	married	basic.9y	no	yes	no	telephone	may	tue	93	2	999	0	nonexistent	1.1	93.994	-36.4	4.857	5191.0
9	13373	28	technician	single	university.degree	no	yes	no	cellular	jul	wed	174	7	999	0	nonexistent	1.4	93.918	-42.7	4.962	5228.1

Last rows

	id	age	job	marital	education	default	housing	loan	contact	month	day_of_week	duration	campaign	pdays	previous	poutcome	emp.var.rate	cons.price.idx	cons.conf.idx	euribor3m	nr.employed	y
32940	41090	31	admin.	single	university.degree	no	no	yes	cellular	nov	wed	212	2	3	6	success	-1.1	94.767	-50.8	1.048	4963.6	0
32941	16023	33	blue-collar	married	basic.6y	no	yes	no	cellular	jul	tue	376	1	999	0	nonexistent	1.4	93.918	-42.7	4.961	5228.1	0
32942	21962	43	management	married	university.degree	no	no	no	cellular	aug	wed	398	2	999	0	nonexistent	1.4	93.444	-36.1	4.964	5228.1	0
32943	37194	58	unemployed	divorced	professional.course	no	no	yes	cellular	aug	thu	142	1	999	0	nonexistent	-2.9	92.201	-31.4	0.883	5076.2	0
32944	16850	36	management	married	unknown	unknown	yes	no	cellular	jul	thu	171	1	999	0	nonexistent	1.4	93.918	-42.7	4.962	5228.1	0
32945	6265	58	retired	married	professional.course	unknown	no	no	telephone	may	tue	427	2	999	0	nonexistent	1.1	93.994	-36.4	4.857	5191.0	0
32946	11284	37	management	married	university.degree	no	no	no	telephone	jun	thu	288	1	999	0	nonexistent	1.4	94.465	-41.8	4.961	5228.1	0
32947	38158	35	admin.	married	high.school	no	yes	no	cellular	oct	thu	194	1	4	1	success	-3.4	92.431	-26.9	0.754	5017.5	1
32948	860	40	management	married	university.degree	no	yes	no	telephone	may	wed	295	2	999	0	nonexistent	1.1	93.994	-36.4	4.856	5191.0	0
32949	15795	29	admin.	single	university.degree	no	yes	no	cellular	jul	mon	333	2	999	0	nonexistent	1.4	93.918	-42.7	4.960	5228.1	0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts